Why do I find most peers and suppliers when searching for product keywords on LinkedIn?
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Why do I find most peers and suppliers when searching for product keywords on LinkedIn?

Qixing Global analyzes why people search for product keywords on LinkedIn. Most of what they find are common reasons, troubleshooting sequences, implementation methods and core indicators from peers and suppliers. It helps individual SOHOs, internal to external factories and foreign trade teams improve the customer accuracy and effective business opportunities actively developed by LinkedIn.A common problem is that product words appear more often in supplier profiles, and buyers may use application, industry, or job language.

Why do I find most peers and suppliers when searching for product keywords on LinkedIn?
Why do I find most peers and suppliers when searching for product keywords on LinkedIn?

To solve the problem of "why when searching for product keywords on LinkedIn, most of the people found are peers and suppliers", the first step is not to look for skills, but to eliminate wrong assumptions.The team may well interpret the problem as a lack of traffic, but the real reason is that product terms appear more often in supplier profiles, and buyers may use application, industry, or job language.The two judgments lead to completely different actions.

Start by sampling recent content, interactors, or leads to answer three things: are they your target customers, do they understand your value, and are the next steps clear enough.The efficiency of active development is first determined by the ideal customer profile and the quality of the target account. Precise search is not a pile of product keywords, but a combination of industry, region, scale, application, position and business signals.If one of the three items cannot be answered, it means that customer search still needs to be restructured.

Prioritize execution: Switch to the combination of industry plus application plus position plus region, and search for decision makers from the target company page in reverse.At the same time, the ICP and exclusions are first defined, and then the target company list, decision-making role map, search formula and verification field are established, and saved and reviewed in batches in Sales Navigator or basic search.order, do not skip the previous positioning and evidence and directly pursue the final inquiry.Only test one key difference in each round and set stopping conditions to avoid constantly adding resources without reaching a conclusion.

Evaluation metrics are divided into two categories: leading and results.The leading indicators are the target company matching rate, decision-making role coverage, effective list rate, data access, response rate and dialogue into demand confirmation. The result indicators are effective leads, quotations and business opportunities.This question wants to compare the proportion of buyers using new and old search methods.Only when the two types of indicators are in the same direction can the changes be truly effective.

A common misconception is to immediately amplify when you see a drop in costs or an increase in engagement.The B2B sample is small, so customer identity and needs should be verified first, and then a stable period should be observed.Results that can be used by sales, can be followed up, and can be traced to their source are results worth retaining.

When implementing this question, you can first use a small group of real target accounts to verify: use the combination of industry plus application plus position plus region, and reverse search for decision makers from the target company page.After execution, don’t just judge based on your feelings, but compare the proportion of buyers with the new and old search methods; at the same time, save the customer identity, version, date and subsequent sales results to avoid mistaking accidental replies for replicable methods.

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